On inducing equations for vegetation resistance
Abstract
The paper describes the process of induction of equations for the description of vegetation-induced roughness from several angles. Firstly, it describes two approaches for obtaining theoretically well-founded analytical expressions for vegetation resistance. The first of the two is based on simplified assumptions for the vertical flow profile through and over vegetation, whereas the second is based on an analytical solution to the momentum balance for flow through and over vegetation. In addition to analytical expressions the paper also outlines a numerical 1-DV k–e turbulence model which includes several important features related to the influence plants exhibit on the flow. Last but not least, the paper presents a novel way of applying genetic programming to the results of the 1-DV model, in order to obtain an expression for roughness based on synthetic data. The resulting expressions are evaluated and compared with an independent data set of flume experiments
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In this reach-scale parameterization, S3 was implemented parametrically via a uniform Manning's n adjustment to represent a selective-planting outcome, rather than a spatially explicit planting prescription.
“In this reach-scale parameterization, S3 was implemented parametrically via a uniform Manning's n adjustment to represent a selective-planting outcome, rather than a spatially explicit planting prescription 29 .”
From AI-driven digital twinning quantifies the trade-off between flood conveyance and riparian stability under climate extremes (2026) · cites this paper as [29]
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Genetic programming in water resources engineering: a state-of-the-art review
Danandeh Mehr, A., Nourani, V., Kahya, E., Hrnjica, B., Sattar, A. M. A., & Yaseen, Z. M. (2018) · Journal of Hydrology · doi:10.1016/j.jhydrol.2018.09.043 · Cited by 162 · see citing works
Shin, J. H., Go, S. H., & Park, J. H. (2026) · Scientific Reports · doi:10.1038/s41598-026-63704-8
- Authors
- Baptist, M. J., Babovic, V., Rodríguez Uthurburu, J., Keijzer, M., Uittenbogaard, R. E., Mynett, A., & Verwey, A.
- Affiliations
- Delft University of Technology (NL)
- National University of Singapore (SG)
- UNESCO-IHE
- WL ∣Delft Hydraulics
- IHE Delft Institute for Water Education (NL)
- Venue
- Journal of Hydraulic Research
- Publisher
- Informa UK Limited
- Published
- 2007-07
- Volume
- 45
- Issue
- 4
- Pages
- 435-450
- ISSN
- 0022-1686 (ISSN-L)
- 1814-2079
- OpenAlex
- W1978153689
- Cited by
- 484
- References
- 0
- Citations by year
- 2026: 29 · 2025: 52 · 2024: 44 · 2023: 36 · 2022: 26 · 2021: 37 · 2020: 31 · 2019: 34 · 2018: 32 · 2017: 19 · 2016: 15 · 2015: 22 · 2014: 17 · 2013: 14 · 2012: 20
- FWCI
- 10.01
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Hydraulic Research (publishedVersion)
- National University of Singapore (submittedVersion)
- Topics
- Physical Sciences › Environmental Science › Ecology › Hydrology and Sediment Transport Processes
- Physical Sciences › Engineering › Computational Mechanics › Fluid Dynamics and Turbulent Flows
- Physical Sciences › Engineering › Civil and Structural Engineering › Hydraulic flow and structures
- Keywords
- vegetation resistance, flow through vegetation, momentum balance, k-epsilon turbulence model, genetic programming, roughness length, flume experiments
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